The Senior IAM and Infrastructure Support Engineer is responsible for delivering high-quality support and operational excellence across the organization’s identity, access, cloud, and virtualization environments. The role emphasizes Identity and Access Management (IAM) within Microsoft Azure and related infrastructures, ensuring data security, availability, and integrity within the ITIL framework.

This strategic position combines deep technical expertise with strong process design and stakeholder engagement skills to support secure, scalable, and efficient IT infrastructure aligned with the organization’s business objectives.

Responsibilities:
-Design, develop, and optimize high-performance infrastructure for real-time trading
-Take complete ownership of projects, from design to production deployment
-Troubleshoot,…

The ERP Applications Support Specialist provides expert support for Enterprise Resource Planning solutions within the Microsoft Dynamics 365 suite and related business applications. The role ensures the availability, integrity, and security of ERP services while assisting users, optimizing workflows, and contributing to continuous improvements in system operations.

Responsibilities:
• Collaborate with engineering and AI/ML teams to understand pipelines and AI service security needs
• Translate requirements into automated security policies and…

Responsibilities:
• Provide exceptional phone support by:
• Actively listening to understand customer issues
• Demonstrating empathy and a sense of urgency
• Documenting problems and…

Responsibilities:

Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations
Work with structured and unstructured data to ensure it is accessible and usable
Optimize data systems for performance and scalability
Implement data quality and data governance standards
Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions, providing data-driven insights
Contribute to the documentation and knowledge sharing within the team by creating and maintaining technical documentation and training materials
Participate in code reviews and contribute to the improvement of development processes
Contribute to the broader data architecture community through knowledge sharing and presentations

Requirements:

8+ years of experience in data engineering or a related field
8+ years of experience in data engineering or a related field
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team
Proficiency in Python
Experience with data processing frameworks such as Apache Spark or Hadoop
Knowledge of database systems (SQL and NoSQL)
Experience working with Snowflake and Databricks
Familiarity with cloud platforms (AWS, Azure) and their data services
Understanding of data modeling and data architecture principles
Experience with data warehousing concepts and technologies
Experience with message queues and streaming platforms (e.g., Kafka)
Experience with version control systems (e.g., Git)
Experience using Jupyter notebooks for data exploration, analysis, and visualization
Excellent communication and collaboration skills
Ability to work independently and as part of a geographically distributed team

Advantages:
Familiarity with data visualization tools (e.g., Tableau, Power BI)
Knowledge of data governance and security best practices (e.g., data access control, data masking)
Experience with Agile methodologies
Familiarity with data catalog and metadata management tools (e.g., Collibra)
Familiarity with CI/CD pipelines and DevOps practices

Ügyfelünk mobil fejlesztői pozícióba keres új kollégát, aki modern technológiákat alkalmazva mobilalkalmazások fejlesztésén dolgozik egy kihívásokkal teli, innovatív környezetben.

Ügyfelünk, egy nemzetközi hátterű, banki szoftverfejlesztéssel foglalkozó vállalat, amely évtizedek óta biztosít IT megoldásokat pénzintézetek számára Technical Requirement Engineer kollégát keres. Fejlesztéseik naponta több millió ügyfél számára teszik elérhetővé a modern banki szolgáltatásokat.

Megbízónk egy banki informatika területén működő multinacionális vállalat meglévő csapatának bővítésére keres Full-Stack developer (Java, Angular) fejlesztő munkatársat.

Ügyfelünk, egy nemzetközi hátterű, banki szoftverfejlesztéssel foglalkozó vállalat, amely évtizedek óta biztosít IT megoldásokat pénzintézetek számára Java fejlesztő kollégát keres. Fejlesztéseik naponta több millió ügyfél számára teszik elérhetővé a modern banki szolgáltatásokat.